Where open-model tools store the prompt
These blocks survive downloads of the original PNG. Converting to JPEG or posting to social apps removes them.
Common tells in Flux images
- Very clean, legible text, often more accurate than other models
- A soft, glossy skin finish with even studio light
- Shallow depth of field on almost every subject
- Fine, repeating patterns in fabrics and foliage
How the check works
- 1
Content Credentials and IPTC
We read the file's C2PA manifest and XMP metadata for the IPTC digital source type. “Trained algorithmic media” means a generator made it; “composite with trained algorithmic media” means AI edited a photo.
- 2
Generator fingerprints
Stable Diffusion, ComfyUI, InvokeAI and NovelAI write their settings into PNG files, and many tools name themselves in the software field. We read every text chunk and EXIF field.
- 3
Camera data
Real cameras record make, model, lens and exposure settings. We read them all and weigh them with everything else.
- 4
Close visual inspection
A vision model inspects the image for the tells generators leave: hands, teeth, text, reflections, repeated backgrounds and over-smooth skin.
More ways to check
Images
Video
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Questions
Do Flux images have metadata?
When made in ComfyUI or Forge and saved as PNG, yes: the workflow names the Flux model and holds the prompt. Hosted apps and social uploads usually strip it.
Do you keep my image?
No. The file is read in your browser and never uploaded. For the visual check, a small preview (at most 1024 pixels wide) is sent, inspected and discarded.
Can it tell me which AI made the image?
Yes. It reads the signature AI tools leave in their files and names ChatGPT, Gemini, Adobe Firefly, Midjourney, Stable Diffusion, ComfyUI, Sora, Veo and more.
Sources
Last updated October 19, 2026.